fuku-predictions

What This Skill Does

Fuku-predictions transforms the complex world of sports betting into an intuitive, conversational experience directly within OpenClaw. By leveraging sophisticated Fuku sports modeling alongside the Kalshi prediction market, this skill enables users to research, scan, and trade financial markets based on sports outcomes. The agent functions as a personal analyst that learns your unique betting philosophy, building a trading profile tailored to your specific statistical preferences. Whether you are looking for specific situational edges, such as home underdogs, or advanced player-mismatch analysis, the agent parses your intent and cross-references it with live market data to present actionable opportunities. It simplifies the trading process by displaying market prices in dollars, calculating expected payout and edge, and providing clear recommendations.

Installation

To begin using the Fuku-predictions skill, ensure you have the necessary dependencies installed by running pip install httpx cryptography python-dotenv in your terminal. You must set up a local .env file within the skill directory containing your Kalshi credentials, specifically your KALSHI_API_KEY_ID and the corresponding KALSHI_PRIVATE_KEY. These keys are stored strictly on your local machine to ensure privacy. Once the environment is configured, you can utilize the various Python scripts in the scripts/ directory to manage profiles, browse markets, or interact directly with the Kalshi API.

Use Cases

This skill is perfect for users who want to transition from passive betting to data-driven, strategic market participation. Use it to build complex trading profiles based on historical trends or live injury reports. It serves as an autonomous assistant for scanning high-volume markets, alerting you when an edge meets your personalized threshold. It is also an essential tool for managing your Kalshi account balance and portfolio positions without needing to navigate complex web interfaces manually.

Example Prompts

1. "I want to build a profile for CBB games where the home team is an underdog of 7+ points, then show me any matches tonight that fit this description."
2. "Scan the NBA markets for games where the best player has a 50+ FPR gap and tell me which ones have at least a 10% edge with a $10 bet."
3. "List my active trading profiles and show me my current portfolio balance and open positions on Kalshi."

Tips & Limitations

To maximize the utility of Fuku-predictions, always define your risk tolerance clearly in your natural language prompts, such as specifying a maximum number of trades per day or preferred stake sizes. Remember that while the Fuku model provides high-level analysis, market volatility is inherent to prediction platforms; always use the provided edge icons (🔥, ✅, 📊) to assess risk before finalizing a trade. Users should be aware that this skill requires direct network access to the Kalshi API and performs local file reads to manage user configuration. Exercise caution when setting up automated trading mode to ensure your risk management parameters are set appropriately for your bankroll.